Information Technology Reference
In-Depth Information
31. Zheng, X., and Yu, C. 2010. Markov model based power management in server
clusters. Green Computing and Communications (GreenCom) , 96-102.
32. Bodenstein, C., Schryen G., and Neumann, D. 2011. Reducing datacenter energy
usage through efficient job allocation. European Council of International Schools
(ECIS 2011), 108.
33. Bell, G. C. 2013. Wireless Sensors Improve Data Center Efficiency. . DOE/Technical
Case Study Bulletin, US Dept. of Energy, Washington, D.C., USA .
34. Abbasi, Z., et al. 2013. Evolutionary green computing solutions for distributed
cyber physical systems. In Evolutionary Based Solutions for Green Computing,
ed. Khan, S. U., Kołodziej, J., Li, J., and Zomaya, A. Y. New York: Springer, 1-28.
35. Henning, J. L. 2006. SPEC CPU2006 benchmark descriptions. ACM SIGARCH
Computer Architecture News 34(4): 1-17.
36. Zapater, M., Sanchez, C., et al. 2012. Ubiquitous green computing techniques for
high demand applications in smart environments. Sensors 12(8):10659-10677.
37. Garg, S. K., Gopalaiyengar, S. K., and Buyya, R. 2011. SLA-based resource
provisioning for heterogeneous workloads in a virtualized cloud datacenter.
International Conference on Algorithms and Architectures for Parallel Processing,
371-384.
38. MapReduce.org. 2011. What is MapReduce? http://www.mapreduce.org/
what-is-mapreduce.php (accessed March 9, 2012).
39. Chen, Y., Keys, L., and Katz, R. H. 2009. Towards Energy Efficient MapReduce .
Technical Report. Berkeley: EECS Department, University of California.
40. Gandhi, A., Harchol-Balter, M., Adan, I. 2010. Server farms with setup costs.
Performance Evaluation 67(11):1123-1138.
41. Gandhi, A., Gupta, V., Harchol-Balter, M., and Kozuch, M. A. 2010. Optimality
analysis of energy-performance trade-off for server farm management. Performance
Evaluation 67(11):1155-1171.
Search WWH ::




Custom Search